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Classroom Contents
Stochastic Sampling of Dense Matter - HEDS Seminar Series
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- 1 Intro
- 2 Stochastic sampling of dense matter
- 3 Structure Prediction
- 4 Smooth interactions
- 5 Smooth Landscapes
- 6 Ab Initio Random Structure Searching
- 7 Gamma Boron
- 8 Data Driven or First Principles?
- 9 Being Sensible
- 10 Condensed matter!
- 11 Potentials
- 12 Superconducting Hydrides
- 13 Superconducting Binary Hydrides
- 14 Manifold learning Stochastic hyperspatial embedding and projection
- 15 New directions
- 16 Binary chain
- 17 Covalent bonds
- 18 Composition Space
- 19 Conclusion
